{"id":"https://openalex.org/W4295074079","doi":"https://doi.org/10.1109/embc48229.2022.9871819","title":"Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment","display_name":"Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4295074079","doi":"https://doi.org/10.1109/embc48229.2022.9871819","pmid":"https://pubmed.ncbi.nlm.nih.gov/36086063"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871819","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088782893","display_name":"Tyrell To","orcid":null},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tyrell To","raw_affiliation_strings":["Marquette University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Marquette University, USA"],"affiliations":[{"raw_affiliation_string":"Marquette University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Marquette University, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021428904","display_name":"Saba Heidari Gheshlaghi","orcid":null},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saba Heidari Gheshlaghi","raw_affiliation_strings":["Marquette University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Marquette University, USA"],"affiliations":[{"raw_affiliation_string":"Marquette University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Marquette University, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068927047","display_name":"Dong Hye Ye","orcid":"https://orcid.org/0000-0002-9186-4095"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Hye Ye","raw_affiliation_strings":["Marquette University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Marquette University, USA"],"affiliations":[{"raw_affiliation_string":"Marquette University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Marquette University, USA","institution_ids":["https://openalex.org/I102461120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088782893"],"corresponding_institution_ids":["https://openalex.org/I102461120"],"apc_list":null,"apc_paid":null,"fwci":1.603,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83494267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"1891","last_page":"1894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6783183813095093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6272847652435303},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6096183657646179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6057992577552795},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5192701816558838},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5028073787689209},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4995310306549072},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49103879928588867},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.46073290705680847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4539102017879486},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.36957457661628723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29675596952438354},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20850905776023865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16216379404067993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1221240758895874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6783183813095093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6272847652435303},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6096183657646179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6057992577552795},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5192701816558838},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5028073787689209},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4995310306549072},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49103879928588867},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.46073290705680847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4539102017879486},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.36957457661628723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29675596952438354},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20850905776023865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16216379404067993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1221240758895874},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000072662","descriptor_name":"Margins of Excision","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072662","descriptor_name":"Margins of Excision","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072662","descriptor_name":"Margins of Excision","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005453","descriptor_name":"Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005453","descriptor_name":"Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005453","descriptor_name":"Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871819","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36086063","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36086063","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2765793020","https://openalex.org/W2912993657","https://openalex.org/W2937583316","https://openalex.org/W2962858109","https://openalex.org/W3010871530","https://openalex.org/W3013056581","https://openalex.org/W3107194210","https://openalex.org/W3108319072","https://openalex.org/W3132459015","https://openalex.org/W3157070496","https://openalex.org/W4200023151","https://openalex.org/W4200622901","https://openalex.org/W4255421341"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4402156073","https://openalex.org/W3128011703","https://openalex.org/W2005234362","https://openalex.org/W2074219825","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Breast":[0],"conserving":[1],"surgery":[2],"aims":[3],"at":[4],"the":[5,18,24,75,92,101,159,168],"complete":[6,21],"removal":[7],"of":[8,23,28,46,166],"malignant":[9,52,143],"lesions":[10],"while":[11],"minimizing":[12],"healthy":[13,29],"tissue":[14,48],"loss.":[15],"To":[16,95],"ensure":[17],"balance":[19],"between":[20,51],"resection":[22],"cancer":[25,60,80],"and":[26,53,108,132,171],"conservation":[27],"tissue,":[30],"intra-operative":[31,69],"margin":[32,70],"assessment":[33],"is":[34,66],"necessary.":[35],"Deep":[36,72],"ultraviolet":[37],"(DUV)":[38],"fluorescence":[39],"scanning":[40],"microscope":[41],"provides":[42],"fast":[43],"whole-surface-imaging":[44],"(WSI)":[45],"excised":[47],"with":[49],"contrast":[50],"normal":[54],"tissues.":[55],"Then,":[56],"an":[57],"automated":[58],"breast":[59,79],"classification":[61,135,163,169],"method":[62,157],"on":[63,138,149],"DUV":[64,84,102,151],"images":[65,152],"required":[67],"for":[68,112],"assessment.":[71],"learning":[73,122,162],"shows":[74],"promising":[76],"results":[77,136,148],"in":[78,164],"classification,":[81],"but":[82],"limited":[83],"image":[85,104],"dataset":[86],"poses":[87],"overfitting":[88],"challenge":[89],"to":[90,141],"train":[91],"robust":[93],"network.":[94],"tackle":[96],"this":[97],"challenge,":[98],"we":[99],"partition":[100],"WSI":[103],"into":[105,128],"small":[106],"patches":[107],"extract":[109],"pathological":[110,126],"features":[111,127],"each":[113],"patch":[114],"from":[115],"a":[116,120,129],"pre-trained":[117],"network":[118],"using":[119],"transfer":[121],"approach.":[123],"We":[124],"feed":[125],"decision-tree-based":[130],"classifier":[131],"fuse":[133],"patch-level":[134],"based":[137],"regional":[139],"importance":[140],"determine":[142],"or":[144],"benign":[145],"WSI.":[146],"Experimental":[147],"60":[150],"show":[153],"that":[154],"our":[155],"proposed":[156],"outperforms":[158],"standard":[160],"deep":[161],"terms":[165],"improving":[167],"performance":[170],"identifying":[172],"cancerous":[173],"regions.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}